MacBook Air (2022)
Geekbench AI Score
3426
Single Precision Score
5989
Half Precision Score
4865
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | December 29 2025 10:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.3 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2775
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6795
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15185
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12995
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
97% |
2789
222.1 IPS |
|
|
Object Detection (Q)
|
94% |
2029
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5792
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3416
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10942
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7694
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18584
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28957
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23969
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3835
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6398
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6452
111.5 IPS |
